Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

When some commuter trains arrive at the end of the line, they must travel to a switching platform to be turned around so they ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have ...

Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using ...

In the digital era, Puneet Gupta, a seasoned expert in semiconductor design, presents an innovative approach to resolving hold time violations in advanced System-on-Chip (SoC) designs. His research ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

In this paper, a deep reinforcement learning (DRL) based adaptive cooperative optimization strategy is presented to fill this gap. Task migration and resource allocation are jointly employed to ...

Artificial Intelligence (AI) and Machine Learning (ML) have become integral parts of our daily lives, revolutionizing industries and shaping the future of technology. As we look ahead to 2025, it’s ...